题 目：Modeling Individual Health Care Expenditures in China
报告人：石菊 博士 助理教授
时 间：2月26日中午12:30-13:40
地 点：经院302教室
主持人：叶静怡 教授
点评人：陈 仪 助教授
陈 凯 副教授
Abstract: It is well-known that health expenditures have special distributional characteristics which may lead Ordinary Least Square (OLS) estimates to be biased and inefficient. In this paper, we examine a variety of econometric approaches to model health care expenditures, using a rich dataset with over 280,000 insured individuals in China from 2006 to 2014. We find that: 1) OLS model has the same predictive power as other complicated estimating strategies; 2) The results of model’s predictive power are comparable when using between the Chinese data and the U.S. data; 3) Outpatient spending is much easier to predict than inpatient spending; 4) Large scale spending is under-estimated by the model. Our study is the first to use large sample data to predict health care spending in China.
报告人简介：
石菊，北京大学经济学院助理教授，2013年毕业于波士顿大学，获经济学博士学位，2013-2014年为哈佛大学博士后研究员。研究领域为健康经济学和劳动经济学，研究兴趣侧重医疗保险和医疗改革政策评估。
